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Retell AI Voice Agent Real Estate Lead Qualifier
Built an outbound AI voice agent for a high-ticket real estate coaching company using Retell AI Conversation Flow nodes. The agent qualifies leads through multi-branch logic, handles state-based hard gates deterministically, discloses AI identity honestly, and routes calls to human directors when needed. Deployed via Retell API using Node.js.
Result: automated, compliant lead qualification at scale freeing human directors to focus only on qualified, sales-ready conversations.
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Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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The system uses n8n as the automation orchestration layer, where incoming business events trigger workflows that route tasks to specialized AI agents. A RAG pipeline retrieves relevant knowledge from business data sources, allowing AI agents to generate accurate, context-aware responses and decisions. Redis handles queue-based processing for high-volume tasks, while PostgreSQL stores structured data, workflow history, and audit records.
The automation architecture connects multiple technologies including n8n, OpenAI API, AI Agents, RAG pipelines, Vector Databases, Redis, PostgreSQL, APIs, Webhooks, Slack integrations, Docker, and Python services to create reliable enterprise workflows.
The solution helps businesses reduce manual operations, automate repetitive processes, improve response times, maintain better data accuracy, and scale AI workflows securely. It includes monitoring, validation, error handling, and human approval flows to ensure reliable production usage.
Tech Stack: n8n, OpenAI, AI Agents, RAG, LangChain, Redis, PostgreSQL, Qdrant, Python, FastAPI, Docker, APIs, Webhooks, Slack.
